{"id":"W6894276833","doi":"10.5683/sp/gdpfjw","title":"Basic NDP Membership Statistics","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Government (linguistics); Statistical analysis; Context (archaeology); Measure (data warehouse); Term (time)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009711249,0.001458867,0.001256793,0.006223548,0.001726752,0.002761592,0.00256165,0.001034656,0.04293088],"category_scores_gemma":[0.006118636,0.0005227427,0.0007598042,0.01549761,0.0004984767,0.001204384,0.001337309,0.002004816,0.04411643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008144295,"about_ca_system_score_gemma":0.01656907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7622187,"about_ca_topic_score_gemma":0.853217,"domain_scores_codex":[0.9983208,0.0001106468,0.0001160345,0.000300383,0.0007057497,0.0004463857],"domain_scores_gemma":[0.9958396,0.0004159648,0.0002194285,0.0004883757,0.002611947,0.0004247786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002093307,0.00001191098,0.00148365,0.0001053722,0.00001192712,0.00001273137,0.00001858434,0.0001931669,0.0000333988,0.000552816,0.9958403,0.001715206],"study_design_scores_gemma":[0.00003594139,0.000005963699,0.009050691,0.0001570601,0.00001686455,0.00003381564,0.0001762584,0.0004896173,0.0001986953,0.0006060639,0.9892011,0.0000278541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002236541,0.00005081617,0.00003326097,0.0000544849,0.00001695095,0.000007476196,0.9981411,0.0001256377,0.001346516],"genre_scores_gemma":[0.0005464521,0.00004649955,0.00011083,0.00002170316,0.000004784385,0.00001766097,0.9982722,0.00002953378,0.0009503728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7622187,"threshold_uncertainty_score":0.4783632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05133474757826165,"score_gpt":0.3317601758458294,"score_spread":0.2804254282675677,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}